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机构地区:[1]Department of Chemical Engineering, Tsinghua University, Beijing 100084 ,China [2]Chemicals & Marketing Company, PetroChina Company Limited, Beijing 100011, China
出 处:《Chinese Journal of Chemical Engineering》2008年第1期52-56,共5页中国化学工程学报(英文版)
摘 要:Digraph-based causal models have been widely used to model the cause and effect behavior of process systems. Signed digraphs (SDG) capture the direction of the effect. It should be mentioned that there are loops in SDG generated from chemical process. From the point of the inherent operability, the worst unsafe factor is the SDG having positive loops that means any disturbance occurring within the loop will propagate through the nodes one by one and are amplified gradually, so the system may lose control, which may lead to an accident. So finding the positive loops in a SDG and treating these unsafe factors in a proper manner can improve the inherent safety of a chemical process. This article proposed a method that can detect the above-mentioned unsafe factors in the proc- ess conceptual design stage automatically through the analysis of the SDG generated from the chemical process. A case study is illustrated to show the working of the algorithm, and then a complicated case from industry is studied to depict the effectiveness of the proposed algorithm.基于两个字母并成的一个单音的原因的模型广泛地被用来为原因和进程系统的效果行为建模。签署的两个字母并成的一个单音(SDG ) 捕获效果的方向。在从化学加工产生的 SDG 有环,这应该被提及。从固有的操作性的点,最糟的不安全的因素是让意味着发生在循环以内的任何骚乱的积极的环将一个一个地通过节点宣传并且逐渐地被放大因此系统可以失去控制的 SDG,它可以导致一个事故。那么在 SDG 发现积极的环并且以一种合适的方式对待这些不安全的因素能改进一个化学加工的固有的安全。这篇文章建议了能检测的一个方法上述在过程概念设计的不安全的因素通过从化学加工产生的 SDG 的分析自动地上演。案例研究被说明显示出算法工作,然后从工业的一个复杂盒子被学习描绘建议算法的有效性。
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